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proxy3d
/
multi-motions-28

Text Classification
Transformers
Safetensors
English
Russian
xlm-roberta
emotion-classification
multi-label-classification
goemotions
english
russian
affective-computing
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use proxy3d/multi-motions-28 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use proxy3d/multi-motions-28 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="proxy3d/multi-motions-28")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("proxy3d/multi-motions-28")
    model = AutoModelForSequenceClassification.from_pretrained("proxy3d/multi-motions-28", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
multi-motions-28 / examples
1.19 kB
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  • 1 contributor
History: 2 commits
proxy3d's picture
proxy3d
Upload folder using huggingface_hub
f5aea10 verified 3 days ago
  • basic.py
    609 Bytes
    Upload folder using huggingface_hub 3 days ago
  • batch.py
    578 Bytes
    Upload folder using huggingface_hub 3 days ago